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End-Effector Precise Hand-Guiding for Collaborative Robots

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 694)

Abstract

Hand-guiding is a main functionality of collaborative robots, allowing to rapidly and intuitively interact and program a robot. Many applications require end-effector precision positioning during the teaching process. This paper presents a novel method for precision hand-guiding at the end-effector level. From the end-effector force/torque measurements the hand-guiding force/torque (HGFT) is achieved by compensating for the tools weight/inertia. Inspired by the motion properties of a passive mechanical system, mass subjected to coulomb/viscous friction, it was implemented a control scheme to govern the linear/angular motion of the decoupled end-effector. Experimental tests were conducted in a KUKA iiwa robot in an assembly operation.

Keywords

  • Hand-guiding
  • Collaborative robot
  • End-effector

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References

  1. Neto, P., Mendes, N.: Direct off-line robot programming via a common CAD package. Robot. Auton. Syst. 61(8), 896–910 (2013). https://doi.org/10.1016/j.robot.2013.02.005

    CrossRef  Google Scholar 

  2. Neto, P., Pereira, D., Pires, J.N., Moreira, A.P.: Real-time and continuous hand gesture spotting: an approach based on artificial neural networks. In: 2013 IEEE International Conference on Robotics and Automation (ICRA), pp. 178–183 (2013). https://doi.org/10.1109/ICRA.2013.6630573

  3. Simao, M.A., Neto, P., Gibaru, O.: Unsupervised gesture segmentation by motion detection of a real-time data stream. IEEE Trans. Ind. Inform. 13(2), 473–481 (2017). https://doi.org/10.1109/TII.2016.2613683

    CrossRef  Google Scholar 

  4. Haddadin, S., Albu-Schaffer, A., Hirzinger, G.: Requirements for safe robots: measurements, analysis and new insights. Int. J. Robot. Res. 28(11/12), 15071527 (2009). https://doi.org/10.1177/0278364909343970

    Google Scholar 

  5. Balasubramanian, R., Xu, L., Brook, P.D., Smith, J.R., Matsuoka, Y.: Physical human interactive guidance: identifying grasping principles from human-planned grasps. IEEE Trans. Robot. 28(4), 899–910 (2012). https://doi.org/10.1109/TRO.2012.2189498

    CrossRef  Google Scholar 

  6. Whitsell, B., Artemiadis, P.: Physical Human-Robot Interaction (pHRI) in 6 DOF with asymmetric cooperation. IEEE Access 5, 10834–10845 (2017). https://doi.org/10.1109/ACCESS.2017.2708658

    CrossRef  Google Scholar 

  7. Fujii, M., Murakami, H., Sonehara, M.: Study on application of a human-robot collaborative system using hand-guiding in a production line. IHI Eng. Rev. 49(1), 24–29 (2016)

    Google Scholar 

  8. Lee, S.D., Ahn, K.H., Song, J.B.: Torque control based sensorless hand guiding for direct robot teaching. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 745–75 (2017). https://doi.org/10.1109/IROS.2016.7759135

  9. Ficuciello, F., Villani, L., Siciliano, B.: Variable impedance control of redundant manipulators for intuitive human robot physical interaction. IEEE Trans. Robot. 31(4), 850–863 (2015). https://doi.org/10.1109/TRO.2015.2430053

    CrossRef  Google Scholar 

  10. Kosuge, K., Yoshida, H., Fukuda, T.: Dynamic control for robot-human collaboration. In: Proceedings of the 2nd IEEE International Workshop on Robot and Human Communication, pp. 398–401 (1993). https://doi.org/10.1109/ROMAN.1993.367685

  11. Geravand, M., Flacco, F., De Luca, A.: Human-robot physical interaction and collaboration using an industrial robot with a closed control architecture. In: 2013 IEEE International Conference on Robotics and Automation, pp. 4000–4007 (2013). https://doi.org/10.1109/ICRA.2013.6631141

  12. Hanses, M., Behrens, R., Elkmann, N.: Hand-guiding robots along predefined geometric paths under hard joint constraints. In: 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1–5 (2016). https://doi.org/10.1109/ETFA.2016.7733600

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Acknowledgments

This research was partially supported by Portugal 2020 project DM4Manufacturing POCI-01-0145-FEDER-016418 by UE/FEDER through the program COMPETE 2020, the European Unions Horizon 2020 research and innovation programme under grant agreement No 688807 - ColRobot project, and the Portuguese Foundation for Science and Technology (FCT) SFRH/BD/131091/2017.

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Correspondence to Pedro Neto .

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Safeea, M., Bearee, R., Neto, P. (2018). End-Effector Precise Hand-Guiding for Collaborative Robots. In: Ollero, A., Sanfeliu, A., Montano, L., Lau, N., Cardeira, C. (eds) ROBOT 2017: Third Iberian Robotics Conference. ROBOT 2017. Advances in Intelligent Systems and Computing, vol 694. Springer, Cham. https://doi.org/10.1007/978-3-319-70836-2_49

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  • DOI: https://doi.org/10.1007/978-3-319-70836-2_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70835-5

  • Online ISBN: 978-3-319-70836-2

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